Huawei R&D Sites in Belgium and the Netherlands Jobs

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DevOps Eng.

Amsterdam-Zuidoost, Netherlands

Employee

Huawei Amsterdam Research Center

In Amsterdam Research center we need a DevOps engineer to support our infrastructure. We run builds and tests on GitLab and then deploy our models and experiments to internal cloud for testing, integration and demos.

As our DevOps engineer you will:

Support Amsterdam Research center with your DevOps experience
Keep internal tools like Mattermost, Minio and Kubernetes running and happy
Support and improve CI infrastructure consisting of GitLab runners
Maintain cloud instances, DNS records and TLS certificates
Maintain bare metal machines
Setup monitoring and improve instabilities of internal tools
Support with integration testing and deployment
Create and maintain custom docker images

Requirements:

2+ years’ experience as a DevOps engineer
Experience with docker, docker-compose, kubernetes and distributed CI infrastructures
Good knowledge of Linux and bash

If you know technologies from a list below it is a plus:

Python
Mlflow, Tensorflow, Pytorch
Event driven architectures (kafka, rocketMQ, rabbitMQ,...)
Fluent in Chinese preferred

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Energy-efficient training algorithms Student Internship

Leuven, Belgium

Internship

Partial Remote Job

Huawei Leuven Research Center

Our newly founded Fundamental Theory Lab part of Belgium Research Center (Leuven, Belgium) will play a leading role in researching new computational technologies for next generation networks. Research activities range from mathematical and computational optimization up to their application to sequential decision processes, online optimization for scheduling, predictive network modeling, automated pattern detection/extraction, automated data labeling and as well as fast converging solvers.

Description: this internship is situated in the domain of computational methods for neural networks; the training of neural networks by backpropagation does (often) not account for energy consumption considerations and the resulting constraints on the properties and usage of the learned model. However, these constraints are of fundamental importance in enabling autonomy of devices executing the learned model(s).

Goal: the main goal of this internship is to formulate, design and evaluate optimization methods and algorithms that minimize the neural network loss/error function (associated to simple regression/ classification tasks) under energy constraints.

Tasks: the tasks assigned to the intern -under the supervision of a Post-Doc level promotor- include but are not limited to:

Development and evaluation of energy consumption models
Design and numerically evaluation of first order iterative optimization algorithms for solving of nonlinearly constrained problems for the training of multi-layer neural networks
Comparison against non-constrained training algorithms (accuracy vs. complexity vs. energy consumption)

Duration:

Short duration (from 3 to 6 months): suited for MSc curriculum course or other voluntary activity conducted in academic context.
Long duration (up to 12 months): suited for MSc thesis internship
Note well: following Belgian Law, being a student internship (no working contract) only direct costs may be reimbursed.

Candidate profile and Position requirements:

At least : last year of MSc degree in Applied mathematics, Mathematical engineering, Numerical Mathematics but also Theoretical computer science, Computer science engineering.
- Note well: candidate must be enrolled or already obtained their University degree from an academic institution of one of the EU country.
Experience in either
- Continuous optimization and nonlinear programming together with good knowledge of iterative methods for the solving of constrained nonconvex optimization problems
- Stochastic optimization and related methods including stochastic approximation, sample average approximation, stochastic splitting methods etc.
Experience in energy-/power consumption models for computing systems is considered as a plus.
Good knowledge of programming language (C/C++, FORTRAN), functional programming language (LISP, Julia, etc.) or numerical programming languages (such as Octave) is considered as a plus.
Excellent Communication skills - Presentation, oral and writing skills.

Application requirements

Certified copy of the MSc diploma/certificate shall be included in annex of the CV.
- The CV shall indicate the detailed coordinates of the current or eventually the last academic institution and department of the candidate.
- The CV shall include a detailed list of publications/achievements in relation to the job description.
Note well: the candidate must follow or have obtained his/her MSc degree from an academic institution of one of the EU countries.

Starting date:

1st 2022 (earliest) – Sep.1st 2022 (latest)

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Fresh PhD Analog IC Design Engineer

Leuven, Belgium

Employee

Partial Remote Job

Huawei Leuven Research Center

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Our Huawei R&D teams develop next generation transceivers, supporting 4G (LTE), 5G and 6G systems.

Today, we're seeking team players who get things done and share a passion for bringing new wireless technologies to the rapidly growing high speed communication market. Now is your chance to join our leading R&D team and to develop state-of-the-art prototypes and products.

Job Description.

We are offering SENIOR INTEGRATED CIRCUITS DESIGN ENGINEER positions enabling you to join the creation of the next generation advanced communication chips.

The ability to analytically reason on different circuit topologies, based on an overview of the state-of-the-art, select the right architecture and tweak the right parameters to meet stringent criteria for these circuits is your strength.

The candidate will design (IC design), simulate, layout and test integrated analog, mixed-signal and/or RF circuits in advanced CMOS or SOI technologies.

He/she will also perform experimental verification and debugging, along with the integration of complex RF & Mixed Signal functions into system chips. Building accurate models based on layout extraction and 2D/3D modeling tools to match measurements with simulations is essential.

Required Education and Experience:

Excellent Ph.D.
Shown knowledge of CMOS analog, RF or mm-wave integrated circuit design
Shown knowledge with Cadence Spectre, Virtuoso or other equivalent Agilent and/or Mentor tools is required.
Good communication skills & team-player.
Result driven
Continuous strive for improvement in circuits and process.
Detail oriented and determined
Willing to relocate to Leuven region (Belgium).

Location

Leuven (BE), (partially) remote during Covid situation

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Internship in Composite Optimization

Leuven, Belgium

Internship

Option for/Allows Remote Job

Huawei Leuven Research Center

Context: Optimization problems in the context of distributed computing, communication networks, etc often involve multiple terms in the objective function. Minimizing the sum of a smooth (continuously differentiable) and a lower semi-continuous function can be solved by means of proximal gradient methods. The nonmonotone variant applies when the derivative of the smooth part of the objective function is not globally but only locally Lipschitz continuous. In this case, the method is referred to as nonmonotone proximal gradient. The properties of the latter remain open for investigation when inertial terms are considered and for constrained problems.

Goal: the goal of this internship is to design iterative algorithm and demonstrate their local convergence properties. The internship can be completed by numerical experiments and comparative performance analysis.

Internship Position requirements

MSc degree (last year) or ongoing PhD degree in Applied mathematics, Mathematical engineering, Computational Mathematics/Algorithmic or Computer science (engineering).

Note well: candidate must have obtained their University degree from an academic institution of one of the EU countries.

Excellent-level

Continuous optimization including iterative and proximal/projective methods
Nonsmooth optimization including subdifferential and nonsmooth/variational analysis

Good-level in numerical programming languages (Octave)
Entry-level in programming language (C/C++, FORTRAN) is considered as a strong plus.
Excellent communication skills : presentation, oral and writing.

Seniority Level: Entry level

Duration:

Fixed term: up to 1 years, possibility to combine with MSc Thesis.
Full-time (preferred) or part-time.

Starting date: March 1st, 2023 (earliest) - Sep.30, 2023 (latest)

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Internship in Computational Optimization

Leuven, Belgium

Internship

Option for/Allows Remote Job

Huawei Leuven Research Center

Our Research Lab - European Branch Division plays a leading role in researching new technologies for next generation networks. These include a.o. the inception of fast converging algorithms to support online/sequential network decision processes. Due to various operational and performance requirements, reaching this target requires the solving of challenging mathematical optimization problems involving nonlinear coupling constraints, nonconvex composite objectives, etc.

In order to enlarge the team of high-end experts engaged in this research work, we invite applications for internship position in Computational Optimization and its aplication to communication networks including including network design, routing/traffic assignment, resource allocation, flow/resource scheduling, etc.

Tasks

Investigate emerging mathematical, algorithmic and computational methods for the online/batch solving of large-scale network optimization problems involving nonlinear coupling constraints, nonconvex composite objectives, etc.
Contribute to the experimentation of new computational optimization methods
Participate to the development of experimental tools to validate and compare them through numerical experiments

Internship Position requirements

MSc degree (last year) or ongoing PhD degree in Applied mathematics, Mathematical engineering, Computational Mathematics/Algorithmic or Computer science (engineering).
- Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.
Entry-level practical experience in either
- Continuous optimization / nonlinear programming (NLP) including iterative and projective methods
- or Mixed-integer nonlinear programming (MINLP) and related
Good knowledge of programming language (C/C++, FORTRAN). Knowledge of numerical programming languages (Octave) is considered as a strong plus.
Excellent communication skills : presentation, oral and writing.

Seniority Level:

Entry level

Duration:

Fixed term: up to 2 years (renewable), possibility to combine with MSc Thesis.
Full-time (preferred) or part-time.

Starting date: January 1st, 2023 (earliest) - Sep.30, 2023 (latest)

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Internship in Fast Converging Solvers

Leuven, Belgium

Student

Huawei Leuven Research Center

Despite recent advances in automatic differentiation (AD) algorithms and software, incorporating automatic differentiation tools in optimization solvers remains largely unexploited. Commonly, the solving of bound-constrained nonlinear optimization problems with, e.g., the Newton method or the Augmented Lagrangian Method (ALM), require the evaluation of the objective function, its gradient and the (sparsity pattern of the) Hessian matrix. Additionally, constrained optimization problems also involve providing the sparsity pattern and the Jacobian matrix of the constraints. The time and resource required to obtain this information and verify their correctness can be relatively large even for simple problems. Nowadays, optimization problem-solving environments provide modeling language and state-of-the-art optimization solvers together with packages that are capable to compute first-order information, e.g., derivatives, gradients. However, AD remains largely unexploited for generating these quantities; requiring consequently to run the entire framework and its packages altogether to solve nonlinear optimization problems. In this context, the main goal is to blend AD tools that automatically generate the required first- and second-order quantities together with nonlinear optimization methods such as ALM for constrained problems.

Objective: instigate and investigate automatic and numerical differentiation tools for nonconvex optimization solvers that can rapidly converge with few function and derivative evaluations as well as provide and improve second-order information with the same efficiency and reliability as available for first-order information.

Task(s): design/formulate, develop and numerically evaluate enhancements of existing computational methods/algorithms such as ALM for solving constrained nonconvex optimization problems. To address the computational performance objectives, the candidate will also actively participate to the design (extension) and evaluation of (existing) automatic differentiation tools for solving such optimization problems. These tasks will be realized under the supervision of a senior (postdoc-level) researcher.

Duration: from 3 months to 1 year (max.)

Candidate profile:

If MSc thesis internship: the candidate must be following the last year of the curriculum in, e.g., Applied mathematics, Math. engineering, Theoretical computer science, Computer science engineering. Detailed coordinates of MSc promotor and his/her academic affiliation must be provided in the CV application form.
If PhD student internship: the candidate must have completed his/her MSc (in one of these disciplines) and ideally realized a thesis in one of the following domain(s): nonlinear programming, computational methods and algorithms for nonconvex optimization (incl. second order iterative methods, subspace methods, etc.), automatic differentiation. Copy of the MSc diploma/ certificate shall be included in annex of the CV. The internship can also be considered as part of post-MSc graduation or PhD graduation program.
Good knowledge of functional programming language (LISP, Julia, etc.) is considered as a plus.

Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.

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Internship in Network Optimization

Leuven, Belgium

Employee

Huawei Leuven Research Center

Our Research Lab European Branch Division plays a leading role in researching new technologies for next generation networks. These include a.o. the inception of fast converging algorithms customized to the solving of large-scale mathematical optimization problems involving nonlinear coupling constraints, nonconvex composite objectives, etc. In order to enlarge the team of high-end experts engaged in this research work, we invite applications for internship position in Network Optimization, i.e., network design, routing/traffic assignment, resource allocation, flow/resource scheduling, etc.

Goals

Together with the research & engineering team in advanced computational optimization focused on network applications, you will contribute to either of the following tasks

Develop methods and algorithms customized for network optimization problems involving nonlinear coupling constraints, nonconvex/nonlinear composite objective functions, etc.
Evaluate numerically these network optimization algorithms on selected use cases with synthetic and/or real-life data sets.
Experiement them as part of a mathematical solver framework for their automated execution

Skills and competences

Network optimization including network design, routing/traffic assignment, resource allocation, flow/resource scheduling, etc.
Optimization methods/algorithms (must) : mixed integer nonlinear programming (must) and at least one of the following:

o Iterative methods: first order methods (linesearch methods, subspace methods, etc.), Gauss-Siedel, Jacobi, Newton-Raphson methods, etc., Primal-dual methods (Lagrangian methods, etc.), interior point methods
o Projective/proximal methods
o Stochastic methods

Programming skills (must) : Octave and either C/C++ or FORTRAN (knowledge of Julia programming is considered as a plus)
Knowledge of solving frameworks : (MI)NLP (e.g. Gurobi, SCIP, Couenne/COIN-OR, SHOT/COIN-OR, Algencan, Bonmin, etc.), Subsolvers (e.g. MIP: CPlex, NLP: Ipopt, Conopt) is considered as a strong plus

Duration

Fixed term: from 3 months up to 2 years (renewable), possibility to combine with MSc Thesis.
Full-time (preferred) or part-time.

Starting date: January 1st, 2023 (earliest) - Sep.30, 2023 (latest)

Candidate profile

if MSc thesis: the candidate must be following the last year of the curriculum in, e.g., Applied/ Numerical mathematics, Math/Mechanical engineering, Theoretical computer science, Computer science engineering. Detailed coordinates of MSc promotor and his/her academic affiliation must be provided in the CV application form.
if studentship/internship: the candidate must either be last year of an MSc curriculum in one of these disciplines or have completed an MSc (in one of these disciplines). Copy of the MSc diploma/certificate shall be included in annex of the CV. The internship can also be considered as part of post-MSc graduation or PhD graduation program.
Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.

Application : please provide complete CV with both curriculum and practical experience, including elements that demonstrate

Good programming skills (experimental code) in Octave and either C/C++ or Fortran
Knowledge in the handling of optimization methods and algorithms
Excellent English level proficiency (both oral and written)

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Internship in Nonlinear Inverse Problems

Leuven, Belgium

Student

Huawei Leuven Research Center

Inverse problems seek to reconstruct the unknown model parameters characterizing the system under investigation from measured data. More precisely, nonlinear inverse problems start by considering a nonlinear operator between the parameters, and acquired information / observation about them, i.e., data or measurements. This operator constructs a model for the available data, assumed to depend only on these parameters. Since the inverse problem is the inverse of the forward problem, this operator is often referred to as the forward operator. n nonlinear inverse problems, the forward operator being nonlinear, the model parameters depend in a nonlinear way of the state of the system and therefore on the observations available on it.

However, inverse problems are typically ill-posed, as opposed to the well-posed problems (verifying existence, uniqueness, and stability of the solution(s)). Also inverse problems are also typically ill-conditioned, i.e., a small change in the input induce a large change in the response. Hence, to tackles them, nonlinear regularization functionals are often introduced in the objective function to prevent overfitting. The specific context of this internship sits when the resulting minimization problem also involves inequality constraints on the model parameters or some functions of them. These constraints are important to avoid invalid or non-significant values for the model parameters.

Task:

Design and compare different numerical solving algorithms associated to different constrained nonlinear optimization methods.
Evaluate and compare these algorithms both formally and numerically using various (synthetic or real) benchmark cases including network tomography, network properties inference, etc. These tasks will be realized under supervision of senior (postdoc-level) researcher.

Duration: from 3 months to 1 year (max.)

Candidate profile:

if MSc thesis: the candidate must be following the last year of the curriculum in, e.g., Applied/ Numerical mathematics, Math/Mechanical engineering, Theoretical computer science, Computer science engineering. Detailed coordinates of MSc promotor and his/her academic affiliation must be provided in the CV application form.
if internship: the candidate must have completed his MSc (in one of these disciplines). Copy of the MSc diploma/certificate shall be included in annex of the CV. The internship can also be considered as part of post-MSc graduation or PhD graduation program.
Good knowledge of networked systems is considered as a plus.

Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.

Starting date: Jan.1st, 2023 (earliest) - Sep.30, 2023 (latest)

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Internship in Nonlinear Optimization

Leuven, Belgium

Student

Option for/Allows Remote Job

Huawei Leuven Research Center

In the context of context of communication networks, the solving of bound-constrained nonlinear optimization problems with, e.g., the Newton method or the Augmented Lagrangian Method (ALM), require the evaluation of the objective function, its gradient and the (sparsity pattern of the) Hessian matrix. Additionally, constrained optimization problems also involve providing the sparsity pattern and the Jacobian matrix of the constraints. The time and resource required to obtain this information and verify their correctness can be relatively large even for simple problems. Nowadays, optimization problem-solving environments provide modeling language and state-of-the-art optimization solvers together with packages that are capable to compute first-order information, e.g., derivatives, gradients. In this context, Automatic Differentiation (AD) remains largely unexploited for generating these quantities, requiring in turn to run the entire framework and its packages altogether to solve nonlinear optimization problems. Thus, it would also be beneficial to solve the corresponding nonconvex optimization problem (including nonlinear inequality constraints) by means of unified AD tools. Indeed, combining AD tools that automatically generate the required first- and second-order quantities together with nonlinear optimization methods such as ALM yields a promising method.

Objective: investigate and design nonlinear programming methods for solving nonconvex optimization problems with nonlinear constraints that can rapidly converge with few function and derivative evaluations. Ideally the proposed algorithm would also improve second-order information with the same efficiency and reliability as available for first-order information.

Task(s):

Formulate, develop and numerically evaluate enhancements/extensions of computational methods/algorithms including ALM for solving nonconvex optimization problems with nonlinear constraints.
To address the computational performance objectives, the candidate will also actively participate to the design (extension) and evaluation of (existing) automatic differentiation tools for solving such optimization problems.
Integration of these tools into a unified AD framework will be realized in cooperation with computational/numerical method experts. These tasks will be realized under the supervision of a senior (postdoc-level) researcher.

Duration:

Short duration (from 3 to 6 months): suited for MSc curriculum course
Long duration (up to 12 months): suited for MSc thesis internship
Note well: unpaid student internship (no working contract), only direct costs are reimbursed up to 660 Euros per month

Candidate profile: MSc (or last year of MSc curriculum) in applied mathematics, mathematical engineering, theoretical computer science, or computer science engineering

Continuous optimization and related nonlinear programming techniques such as first-order iterative methods (PGD/PPD, ALM, ADM, etc.), inexact methods (Quasi-Newton methods, BFGS, etc.) and/or Krylov subspace methods ((B)CG, Lanczos, GMRES, MINRES, Arnoldi, etc.) for nonconvex optimization problems.
Experience in programming with nonlinear optimization libraries, e.g., LANCELOT/ CUTE, MINOS, TRON, IPopt, NLopt, etc. is considered as a strong plus.
Excellent written, verbal and interpersonal communication skills.

Application requirements

Certified copy of the MSc diploma/certificate shall be included in annex of the CV.
The CV shall indicate the detailed coordinates of the current or eventually the last academic institution and department of the candidate.
The CV shall include a detailed list of publications/achievements in relation to the job description.
Note well: the candidate must follow or have obtained his/her MSc degree from an academic institution of one of the EU countries.

Starting date: Jan.1st, 2023 (earliest) – Sep.30, 2023 (latest).

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Internship in Nonsmooth Optimization

Leuven, Belgium

Internship

Huawei Leuven Research Center

Context

The non-smooth property in optimization problems arise in from regularization for sparsity, statistical learning and inverse problems such as tomography, reconstruction, etc. On the other hand, most techniques (e.g., decomposition, dual Lagrangian relaxation, explicit penalization) for hard constrained (nonlinear) optimization problems lead to the solving of non-smooth problems, which are either smaller in dimension or simpler in structure. Indeed, envelope functions, Lagrangian and many other (algorithmically) important functions are inherently non-smooth.
Thereby, non-smoothness is clearly not just an artifact, it is a core feature that usually comes with a certain structure. The key challenge is to recognize good structures that can be further leveraged.

Objective(s) : the intern will realize his internship in either of the following topic with the objective to design and numerically experiment the method on representative use cases.

Application of subdifferential calculus to nonsmooth optimization methods
Vector and set optimization problems, techniques and tools
Application of nonlinear and variational analysis to nonsmooth optimization methods
Develop splitting methods (primal-dual, stochastic primal-dual, etc.) in convex optimization

Internship Position requirements

MSc degree (last year) or ongoing PhD degree in Applied mathematics, Mathematical engineering, Computational Mathematics/Algorithmic or Computer science (engineering).
- Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.
Entry-level practical experience in either
- Continuous optimization / nonlinear programming (NLP) including iterative and projective methods
- or Convex optimization including subgradient-based optimization methods
Good knowledge of programming language (C/C++, FORTRAN). Knowledge of numerical programming languages (Octave) is considered as a strong plus.
Excellent communication skills : presentation, oral and writing.

Seniority Level:

Entry level

Duration:

Fixed term: from 3 months up to 2 years (renewable), possibility to combine with MSc Thesis.
Full-time (preferred) or part-time.

Starting date: January 1st, 2023 (earliest) - Sep.30, 2023 (latest)

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IT 技术支持工程师

Leuven, Belgium

Employee

Partial Remote Job

Huawei Leuven Research Center

Huawei Gent Research Center

IT Support Technician, Leuven

We are looking for a dynamic IT Support Technician with a “can do spirit” to deliver excellent results at Huawei’s R&D Center in Leuven. We are offering a challenging, multi-national IT environment where the IT infrastructure and software is managed, manufactured and developed in-house. You will be working as a part of Huawei’s Global R&D IT group with possibilities to travel and support Huawei sites in other countries.

Key responsibilities

User desktop/laptop, scanner, printer support, helps resolving problematic events.
Desktop/laptop provision, prepare corporate standard OS/Software/Application and security settings before distributing to end users.
User training on IT platforms/OA/Application/Services.
Local IT server room, including local network infrastructure.
Video and voice conference system, AV-equipment and IP-phone support.

What we expect

Fluency in English
Proficiency with Microsoft Windows, Office suite.
Familiar with LAN technologies (e.g. Cisco CCENT or CCT Routing and Switching).
Windows Server, AD, DHCP.
Linux (Ubuntu, CentOS, etc.).
Minimum 2 years work experience in IT field.
Optimistic, proactive, team player.

Advantages

Bachelor or above degree in computer science or information technology.
Familiar with
- WAN technologies (e.g. Cisco CCNA or Huawei HCIA Routing and Switching).
- IT infrastructure, such as server room, cabling, UPS.
- ITIL (e.g. ITIL certificate) and/or ITSM tools.
- Video conferencing systems, IM tools, IP-phones.
- AV-equipment.
- Building access control / CCTV.
- Project Management methodologies.
Chinese language skills.

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Junior Business Development Manager

Leuven, Belgium

Employee

Partial Remote Job

Huawei Leuven Research Center

Function: Business Development Manager
Department: Hisilicon Strategy & Business Development Department
Location: Belgium (Huawei Belgium Research Center - BeRC)
Experience: junior
Reporting to: Sr. Director Strategy & Business Development

The role spans activities in Europe/EMEA region: identifying new business development opportunities
and sourcing of potential M&A or investment targets.
Specific focus is on semiconductor related technology companies and startups.
The candidate should be able to easily communicate and network externally and effectively report and
communicate to headquarters.

Work requirements:
The candidate will be responsible for the following activities:
* build relationships with European companies, startups, knowledge and incubation centers and VCs
* organize business/technical evaluations and due diligence together with expert colleagues and HQ
* organize and accompany business trips together with experts from HQ
* tracking and reporting of progress and presenting summaries in key domains to HQ

Qualifications/Experience:
* background in engineering and/or economics (minimum Master degree)
* experience in business development is a plus
* open to multi-cultural environment

* English, French &/or Dutch are a must, Chinese is a plus

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Junior Network Optimization Research Engineer (MSc)

Leuven, Belgium

Employee

Huawei Leuven Research Center

Junior Research Engineer in Network Optimization (MSc)
Junior Research Engineer with MSc thesis completed (up to 2 years of experience after completing MSc degree) in Computer science, Computer science engineering, Math. engineering, Operational research

Goals
Together with the research & engineering team in advanced computational optimization focused on network applications, you will contribute to the following
 Develop methods and algorithms customized for network optimization problems involving nonlinear coupling constraints, nonconvex/nonlinear composite objective functions, etc.
 Evaluate numerically/experimentally these network optimization algorithms on selected use cases with real-life data sets.
 Integrate them as part of product-grade solver framework for automated execution

Skills and competences
 Network optimization including network design, routing/traffic assignment, resource allocation, flow/resource scheduling, etc.
 Optimization methods/algorithms (must) : mixed integer nonlinear programming (must) and at least one of the following :

o Iterative methods: first order methods (linesearch methods, subspace methods, etc.), Gauss-Siedel, Jacobi, Newton-Raphson methods, etc., Primal-dual methods (Lagrangian methods, etc.), interior point methods
o Projective/proximal methods
o Stochastic methods

 Programming (must) : strong skills in C/C++, Fortran, and Octave
 Solving frameworks : (MI)NLP (e.g. Gurobi, SCIP, Couenne/COIN-OR, SHOT/COIN-OR, Algencan, Bonmin, etc.), Subsolvers (e.g. MIP: CPlex, NLP: Ipopt, Conopt)

CV
Provide complete CV with both research and work/practical experience, including elements that demonstrate
 Outstanding programming skills (experimental code or ICPC winner) in C/C++ and Fortran –note: excellent skills in Octave programming is considered as a plus
 Expertise in network optimization methods and algorithms: list of achievements and publications (Springer: JOTA, COAP, AMO, JGO, NUMA, etc. Wiley : Networks, IEEE JSAC, IEEE Transactions on Communications, etc.) –note: theoretical knowledge of abstract algorithms not sufficient
 Excellent English level proficiency (both oral and written)

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Junior Network Optimization Research Engineer (PhD)

Leuven, Belgium

Employee

Huawei Leuven Research Center

Huawei Gent Research Center

Junior Research Engineer in Network Optimization

Junior Research Engineer with PhD thesis completed (up to 2 years of experience after completing PhD degree) in Computer science, Computer science engineering, Math. engineering, Operational research

Goals

Together with the research & engineering team in advanced computational optimization focused on network applications, you will

Develop methods and algorithms customized for network optimization problems involving nonlinear coupling constraints, nonconvex/nonlinear composite objective functions, etc.
Evaluate numerically/experimentally these network optimization algorithms on selected use cases with real-life data sets
Integrate them as part of product-grade solver framework for automated execution

Skills and competences

Network optimization including network design, routing/traffic assignment, resource allocation, flow/resource scheduling, etc.
Optimization methods/algorithms (must) : mixed integer nonlinear programming (must) and at least one of the following :
- Iterative methods: first order methods (linesearch methods, subspace methods, etc.), Gauss-Siedel, Jacobi, Newton-Raphson methods, etc., Primal-dual methods (Lagrangian methods, etc.), interior point methods
- Projective/proximal methods
- Variational methods
Programming (must) : strong skills in C/C++, Fortran, and Octave
Solving frameworks : (MI)NLP (e.g. Gurobi, SCIP, Couenne/COIN-OR, SHOT/COIN-OR, Algencan, Bonmin, etc.), Subsolvers (e.g. MIP: CPlex, NLP: Ipopt, Conopt)

CV

Provide complete CV with both research and work/practical experience, including elements that demonstrate

Outstanding programming skills (experimental code or ICPC winner) in C/C++ and Fortran –note: excellent skills in Octave programming is considered as a plus
Expertise in network optimization methods and algorithms: list of achievements and publications (Springer: JOTA, COAP, AMO, JGO, NUMA, etc. Wiley: Networks, IEEE JSAC, IEEE Transactions on Communications, etc.) –note: theoretical knowledge of abstract algorithms not sufficient
Excellent English level proficiency (both oral and written)

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Machine Translation Scientist

Amsterdam-Zuidoost, Netherlands

Employee

Huawei Amsterdam Research Center

Machine Translation Scientist

Huawei R&D Center Amsterdam is looking for a Machine Translation Scientist to join our growing machine translation team and work on large scale neural machine translation systems. We build and maintain cutting-edge machine translation systems for a variety of challenging language pairs that find application in Huawei’s Cloud Search environment. The team actively researches new directions in machine translation to improve our models and open new avenues for application. We are looking to expand our team to cover more language pairs and more domains. This is a great opportunity for an expert in machine translation who is looking to have real world impact at a large scale.

Responsibilities

You will work with a team of applied scientists and engineers who are responsible for all stages of the machine translation model development, including data set selection and filtering, model training and evaluation and domain adaptation. Your responsibilities will include:

Design, develop, test, maintain and debug software programs for the key stages of the machine translation model lifecycle ;
Create and implement new algorithms to solve applied problems in machine translation, such as cross-lingual transfer, domain-adaptation, model compression or data set filtering ;
Research new directions to solve problems in machine translation, such as multilingual translation, quality estimation, model robustness and techniques for low-resource languages and domains;
Publications are possible.

Primary Location

Amsterdam

Required Qualifications:

PhD in natural language processing related field or equivalent research experience;
Experience in building machine translation systems;
Excellent coding abilities in Python and mastery of at least one deep learning framework;
Strong familiarity with machine translation frameworks.

Preferred Qualifications:

Research contributions in the field of machine translations in one of the top tier NLP conferences (i.e. EMNLP, ACL, NAACL, etc.);
Proven record of contributions to open source machine translations or sequence to sequence modelling toolkits (or codebases);
Intensive experience in one of the machine translations research area.

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Predictive Network Modeling Research Internship

Leuven, Belgium

Student

Huawei Leuven Research Center

Rough network data being typically unlabeled limits application of neural networks to unsupervised learning tasks (learning from unlabeled data). Tools for automated network data labeling becomes thus a first-level priority to enable supervised learning tasks (learning from hypothesis/candidate models) by means of neural networks. These neural networks are primarily those involved in nonlinear function approximation underlying automated pattern detection/extraction and recognition/identification such as multi-dimensional interaction modeling and their synthetic representation. In the context of communication networks, for instance, labeled datasets can be used for training neural models to augment -or even replace- current local routing and forwarding process.

On the other hand, a label can be considered as encoding the value of the objective function underlying the machine learning task or the parameter of a model (structured learning). Hence, automated labeling implies that either this objective or the model are formally known. This operation can be realized either in batch or online mode. The former typically assumes that the main performance criteria relates to the size of the input (assumed to be complete) that needs to be processed to reach a given accuracy level. The latter implies time-constrained processing of incoming input following different arrival processes; thus, the number of cycles/inter-arrival times required to reach a given accuracy level.

Objective: automatic labeling method of network data, including spatio-temporal data (traffic, etc.), structural data (topological, etc.)

Task: blends modeling, algorithmic and experimental research; the candidate will have the opportunity to explore, evaluate and compare different labeling algorithms by formal and numerical methods. These tasks will be realized under supervision of senior (postdoc-level) researcher.

Duration: from 6 months to 1 year (max.). Possibility to combine with MSc Thesis.

Candidate profile:

if MSc thesis: the candidate must be following the last year of the curriculum in, e.g., Applied mathematics, Math engineering, Theoretical computer science, Computer science engineering. Detailed coordinates of MSc promotor and his/her academic affiliation must be provided in the CV application form.
if internship: the candidate must have completed his MSc (in one of these disciplines). Copy of the MSc diploma/certificate shall be included in annex of the CV. The internship can also be considered as part of post-MSc graduation or PhD graduation program.
Good knowledge of traffic/network simulation is considered as a plus.

Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.

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Principal IC Design Engineer

Leuven, Belgium

Employee

Huawei Leuven Research Center

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Our Huawei R&D teams develop next generation RF transceivers, supporting 4G (LTE) and 5G systems.

Today, we're seeking team players and technical leaders who get things done and share a passion for bringing new wireless technologies to the rapidly growing mobile market. Now is your chance to join the engineering team and develop new, world-leading products.

We are offering a PRINCIPAL (RF/ANALOG/mixed-signal) IC DESIGN ENGINEER – TECHNICAL LEADER position enabling you to join the creation of the next generation mobile phone chips.

The ability to analytically reason on different circuit topologies, based on an overview of the state-of-the-art, select the right architecture and tweak the right parameters to meet stringent criteria for these circuits is your strength.

This role includes technical leadership, meaning technical hands-on expertise and excellent team skills; together with his/her teammembers, this candidate targets high and challenging standards on technical performance, product and process quality and project schedule.

You are/have:

MSEE with >15y industrial experience
Or relevant and excellent Ph.D., complemented by >10y industry experience
>8y proven technical team leadership
Excellent product track record
Excellent analytical skills
Expert in CMOS integrated circuit architectures and circuits
Good communication skills
Team-player
Result driven
Continuous strive for improvement in circuits and process
Detail oriented and determined
Willing to relocate to Leuven (Belgium)

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Research Device Engineer

Leuven, Belgium

Employee

Huawei Leuven Research Center

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

Join Huawei, connect the world with us.

Role and responsibilities:

As a Research Engineer you will be responsible for leading scientific research of innovative devices and for performing innovation realizations.

Your responsibilities include, but are not limited to:

Investigate the viability of prospective inventions and products typically 5+ years prior to landing on a product roadmap.
Initiate and contribute to the design, development, execution and implementation of scientific and engineering research projects in both fab and laboratory environments
Collaborate with interdisciplinary teams, and our foundry / EDA / research partners on site and globally to leverage the insights gained from research, develop devices, and mitigate issues by identifying shortcomings and proposing and evaluating device modifications.
Participate in the transfer of feasible technology solutions to the internal technology development team.
Maintain substantial knowledge of state-of-the-art principles and theories, and contributes to technical literature and conferences.
Involve in development of intellectual property.

Education and experience

Ph.D. in Electrical Engineering, Physics, Materials Science or related discipline
Knowledge with semiconductor physics, unit process modules and related technology
2+ years of experience in advanced engineering disciplines such as physics, and programming language
2+ years of experience with semiconductor device design, simulation, characterization and data analysis/modeling (or Semiconductor device fabrication and physical characterization)

Desired Skills

Self-motivated and committed
Enthusiastic and proactive
Analytical and critical-minded
Excellent project planner and manager
Fluent communicator and team player

For first consideration, you must fulfill the requirements listed above. In addition to the requirements, preferred qualifications are taken into consideration while selecting the best candidates. The experience described below would be acquired through a mix of your academic work, classes, research, prior employment, and/or internship opportunities.

Location: Leuven, Belgium (on site)

Preferred Qualifications:

Demonstrated experience in the following areas:

Emphasis in Solid State Material and Semiconductor Device Physics, CMOS Process Technology
CMOS Logic Devices/Ferroelectric Memory/Magnetoelectric Devices
Hands-on experience on device design, TCAD simulations, or Molecular Dynamics Simulation
Ab-initial/Atomistic simulation of advanced materials and semiconductor devices
Proficient in coding/scripting language (C/C++/python/Matlab)

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Senior Analog IC Design Engineer

Leuven, Belgium

Employee

Huawei Leuven Research Center

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Our Huawei R&D teams develop next generation transceivers, supporting 4G (LTE), 5G and 6G systems.

Today, we're seeking team players who get things done and share a passion for bringing new wireless technologies to the rapidly growing high speed communication market. Now is your chance to join our leading R&D team and to develop state-of-the-art prototypes and products.

Job Description.

We are offering SENIOR INTEGRATED CIRCUITS DESIGN ENGINEER positions enabling you to join the creation of the next generation advanced communication chips.

The ability to analytically reason on different circuit topologies, based on an overview of the state-of-the-art, select the right architecture and tweak the right parameters to meet stringent criteria for these circuits is your strength.

The candidate will design (IC design), simulate, layout and test integrated analog, mixed-signal and/or RF circuits in advanced CMOS or SOI technologies.

He/she will also perform experimental verification and debugging, along with the integration of complex RF & Mixed Signal functions into system chips. Building accurate models based on layout extraction and 2D/3D modeling tools to match measurements with simulations is essential.

Required Education and Experience:

MSEE with 4+ years industrial experience
Or relevant and excellent Ph.D.
Master students with proven excellence are also invited to apply for similar junior function.Proven track record with silicon measured results
Expertise in CMOS analog, RF or mm-wave integrated circuit design
Experience with Cadence Spectre, Virtuoso or other equivalent Agilent and/or Mentor tools is required.
Good communication skills & team-player.
Result driven
Continuous strive for improvement in circuits and process.
Detail oriented and determined
Willing to relocate to Leuven region (Belgium).

Location

Leuven (BE), (partially) remote during Covid situation

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Senior Analog Power IC Design Engineer

Leuven, Belgium

Employee

Partial Remote Job

Huawei Leuven Research Center

About the job

We are seeking principle Power Management IC designers to join our team. Candidates will be asked to design innovative, high performance integrated circuits which include DC-DCs, AC-DCs, Gate-Drivers, and multi-functional power management circuits.

Job Responsibilities

Translate system requirements to chip and block level architecture and specifications
Circuit design of high performance PMIC blocks (DC-DC, AC-DC, Gate Driver, etc.), responsible for system-level and block-level design and verification
Work with and provide guidance to layout engineers and monitor the progress of the layout
Collaborate with validation, product engineering and test engineering teams to enable successful transfer to production

Job Requirements

Master degree in Microelectronics/Electrical engineering
Extensive experience in smart gate drivers (low-side/high-side/isolated driver) design
Extensive experience in switching regulators design (multi-phase buck, boost buck-boost, fly-back, PFC, LLC) converters
Good understanding of different power architectures and control methods
Expertise in EDA tools (Spectre, Simplis, Matlab)
Deep understanding of power stage design and layout design
Knowledge of bipolar, BiCMOS, and BCD process technologies
Strong analytical and problem-solving skills
Strong inter-personal, teamwork and communication skills are required

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Senior DWS Service R&D engineer

Amsterdam-Zuidoost, Netherlands

Employee

Huawei Amsterdam Research Center

After 11 years of development, HUAWEI CLOUD GaussDB (DWS) is an industry-leading enterprise-level cloud distributed data warehouse service. Provides data analysis services for 1700+ customers worldwide. Benchmarking with external products such as Teradata, Oracle, and HANA Huawei provides O&M-free, online expansion, and efficient multi-source data loading capabilities. It is compatible with the PostgreSQL ecosystem and provides cost-effective online analysis services for massive enterprise data.
Welcome to join the HUAWEI CLOUD EI Service Product development and research. You will work with top experts in the big data analysis domain at home and abroad.

Job Responsibilities:
1. Deep insights into cutting-edge technologies and products in the data analysis domain from both the industrial and academia, participates in R&D project planning in the direction of technology leadership and product experience improvement.
2. Undertake the research of architecture innovation and key technologies development, build up future-oriented and industry-leading product with core competitiveness.
3. Cooperate with top researchers in the industrial and academia , participates in research on cutting-edge issues in the database domain.

Job requirements:
1. Proficient in C, C++, Java, Python, etc.
2. Have a good R&D background and professional knowledge in databases, big data systems, distributed systems, and high-performance computing. Have research background or product development experience in core modules (such as optimizers, executors, and storage systems).
3. Have experiences in the development and maintenance of cloud service and DevOps.
4. Clear working ideas, good communication skills and technical learning skills, good coding habits, strong self-study ability and self-improvement desire;

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Senior LakeHouse Service R&D engineer

Amsterdam-Zuidoost, Netherlands

Employee

Huawei Amsterdam Research Center

HUAWEI CLOUD MRS is the fastest growing star service of HUAWEI CLOUD. The MRS-based LakeHouse solution is fully compatible with open-source big data analysis technology stacks such as Spark, Flink, Hive, and Presto. In addition, it provides a self-developed high-performance online analysis engine. Based on the leading storage-computing separation architecture, converged metadata, and converged table engine, Huawei provides high-performance and high-availability converged analysis capabilities for one-stop stream processing, batch processing, and interactive query.
Welcome to join the HUAWEI CLOUD EI Service Product development and research. You will work with top experts in the big data analysis domain at home and abroad.

Job Responsibilities:
1. Undertake the pre-research and software development of key technologies for LakeHouse service products, and develop future-oriented and industry-leading data analysis technologies.
2. Build up cloud services with leading technologies and excellent experience through industry comparison analysis, listening to customer's feedback, and problem analysis.
3. Participate in technical competitions of key customer projects of LakeHouse product , tackle challenges and problems, support the success of data analysis customer projects.

Job requirements:
1. Proficient in C, C++, Java, and Python.
2. Have a good knowledge of data platforms, such as data warehouse, big data, and data lake warehouse.
1.1 Be familiar with the SQL optimizer and executor of the data system. Experienced in Cost-Based Optimizer and Adaptive Query Execution is preferred.
1.2. Experienced in open source big data, familiar with open source big data technologies, such as Spark/Trino/Presto/Flink/ClickHouse, is preferred.
1.3. Vectorization/Query Compilation experiences is preferred, for example, familiar with SIMD programming, CodeGen/LLVM, Arrow vectorization processing, etc.
1.4. Experienced in LakeHouse transactional data systems is preferred, e.g. familiar with Delta Lake, Iceberg, Hudi;
3. Have experiences in the development or maintenance of cloud computing, high-performance computing, or distributed systems, experiences in cloud service development, DevOps practice, and code contributors/committers to big data open source community projects are preferred.
4. Clear working ideas, good communication skills and technical learning skills, good coding habits, strong self-study ability and self-improvement desire;

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Senior mmWave Design Engineer

Leuven, Belgium

Employee

Huawei Leuven Research Center

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Our Huawei R&D teams develop next generation transceivers, supporting 4G (LTE), 5G and 6G systems.

Today, we're seeking team players who get things done and share a passion for bringing new wireless technologies to the rapidly growing high speed communication market. Now is your chance to join our leading R&D team and to develop state-of-the-art prototypes and products.

Job Description.

We are offering Senior mmWave Design Engineer positions enabling you to join the creation of the next generation advanced communication chips.

The ability to analytically reason on different circuit topologies, based on an overview of the state-of-the-art, select the right architecture and tweak the right parameters to meet stringent criteria for these circuits is your strength.

The candidate will design (IC design), simulate, layout and test integrated analog, mixed-signal and/or RF circuits in advanced CMOS or SOI technologies.

He/she will also perform experimental verification and debugging, along with the integration of complex RF & Mixed Signal functions into system chips. Building accurate models based on layout extraction and 2D/3D modeling tools to match measurements with simulations is essential.

Required Education and Experience:

MSEE with 4+ years industrial experience
Or relevant and excellent Ph.D.
Master students with proven excellence are also invited to apply for similar junior function.Proven track record with silicon measured results
Expertise in CMOS analog, RF or mm-wave integrated circuit design
Experience with Cadence Spectre, Virtuoso or other equivalent Agilent and/or Mentor tools is required.
Good communication skills & team-player.
Result driven
Continuous strive for improvement in circuits and process.
Detail oriented and determined
Willing to relocate to Leuven region (Belgium).

Location

Leuven (BE), (partially) remote during Covid situation

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Senior RF IC Layout Engineer

Leuven, Belgium

Employee

Huawei Leuven Research Center

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Huawei Leuven R&D team develops next generation RF transceivers, supporting 4G (LTE) and 5G protocols.

Today, we're seeking team players who get things done and share a passion for bringing new wireless technologies to the rapidly growing mobile market. Now is your chance to join the engineering team and develop new, world-leading products.

Assignment Description

We are offering a senior layout engineer position enabling you to join the creation of the next generation mobile phone chips.

The Senior RF IC Layout Engineer will be part of an experienced layout team. In close cooperation with his colleagues he will be in charge of the layout of high speed analog and RF circuits and he will take up a leading role in the floorplanning and optimization of the system on chip.

He is an expert user of Cadence and Mentor tool suites on nanometer RF CMOS and/or RF SOI technology.

The successful candidate will work closely with the RF designers. He/she will take into account the constraints from the designer and will go through iterations with the designer to further optimize the layout from a performance and area perspective.

RF circuit layout experience in the sub 10-Ghz range is mandatory.

The layout engineer should have a good understanding of the different circuit topologies and their constraints for the layout. implementation. Good understanding of the layout rules enables to optimize the implementation.

The senior layout engineer is also capable to perform extraction of parasitic and make the interpretation of these results in view of further optimization.

Required Education and Experience:

Industry Degree qualified (BS or MS EE degree)
Ample experience with the Cadence OA VirtuosoXL
Experience with RFIC layout (GHz range) in CMOS technology
Finfet experience is a major plus.
Automation for layout is a plus.
Good communication skills & team-player.
Process oriented, ability to structure the RF layout process
Continuous strive for improvement in circuits and process.
Detail oriented and determined
Relocation to Belgium, if applicable, is strongly recommended.

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Senior Routing Soft. Eng.

Amsterdam-Zuidoost, Netherlands

Employee

Huawei Amsterdam Research Center

In Amsterdam we are working on one of the most ambitious projects in the history of Huawei. We are building an ecosystem of map products on par with our competitors, and we are building with unprecedented speed to create the features that will be shipped in the next-gen releases of our products used by hundreds of millions.

Joining our team means joining an epic endeavor. Calling our environment dynamic, is an understatement. Our challenge requires all members to work together and to be pro-active, to take initiative and to show leadership. If you want to lead the way we offer you plenty of room and support. We highly value team work, which shows in the way we organize projects and research. Of course we have regular code reviews, we adhere to style guides and we make use of unit tests, integration tests and CI/CD, in order to guarantee the sustainability of our R&D projects. Every week we host reading groups, lectures and discussions in the areas of mapping, computer vision, and NLP.

The mission of the routing team is to drive innovation in the area of routing and microservices. Our team is strong in graph search algorithms, distributed architectures, embedded platforms and machine learning. We strive for a healthy balance between implementing and maintaining classic algorithms and research. Our research is in the area of algorithms, architecture, and machine learning.

As member of the team you will contribute to our code base with routing algorithms, distributed systems and you will take part in research projects. You are also expected to participate in research projects that lead to papers and patents.

Requirements

Bachelors or Master’s degree in Computer Science or related field
5+ years’ experience developing production systems
Expert knowledge on C++ (14/17).
Solid understanding of graph algorithms & data structures

Furthermore we expect good knowledge in at least two of the following topics:

Large scale routing or graph algorithms in production
Microservices, distributed or event-based architectures
Location based services (e.g. mapping, localization, routing, traffic)
Additionally to C++, proficiency in multiple programming languages
Machine learning
DevOps (Docker, k8s, vagrant, AWS, google cloud)
Sustainable coding and craftsmanship principles

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Senior Speech Recognition Engineer

Amsterdam-Zuidoost, Netherlands

Employee

Huawei Amsterdam Research Center

The Speech Team at Huawei Amsterdam Research Center is responsible for R&D of both ASR and TTS for all languages around the globe. We do innovations on the cutting-edge deep learning techniques and deliver real-world speech products to the end user via various Huawei or 3rd-party smart devices, including mobile phones, watches, ear pods, TVs and etc. We are looking for an experienced AI researchers to join us developing the first-class ML-oriented software. The international, fast-paced, expert team are looking forward to seeing your application!

Responsibilities:

- Work closely with speech and other AI (CV, NLP, MT) researchers locally and globally.

- Follow the cutting-edge technologies in both academia and industry, innovate new ones.

- Prototype and release end-to-end speech products.

- Develop and optimize inhouse ML training and testing tools.

Requirement:

- Master degree in Computer Science. PhD is a plus.

- At least 3 years industrial hands-on experiences of deep learning, AI and speech-related projects.

- Deep understanding of well-known speech models, such as CTC, RNNT and Transformer.

- Rich experience of popular AI libraries such as Pytorch and Tensorflow.

- Solid programming skills in Python and C/C++.

- Proficient English writing and speaking skills.

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Silicon Photonics Design Engineer

Gent, Belgium

Employee

Huawei Gent Research Center

Huawei Belgium Research and Development Group (formally Caliopa) is a center of excellence for silicon photonics design and processing. It was initially created as a spin-off from the University of Gent and Imec in 2010 but it has been acquired by Huawei in 2013. Huawei is the global No.2 telecom solution provider and uses approximately one sixth of all photonics components produced in the world.

Huawei aims to significantly reduce the cost of these components by investing aggressively in silicon photonics research and development and implementing solutions based on this technology. Huawei Belgium R&D group is at the heart of this program. The group is located in Gent, a vibrant city in Belgium in the heart of Europe.

To strengthen our team, Caliopa is now looking for a Photonics Design Engineer.

Job responsibilities:

Work as part of a team of photonic design engineers dedicated to developing Huawei’s silicon photonics platform
Design and validate photonic components, subsystems and circuits
Define test plans and analyze experimental data in R&D phase
Work closely with components/modules teams
Work closely with the processing and test teams
Depending on your skills and interests, the job can focus more on developing and optimizing the building block library, next-generation product development or developing cutting edge technologies for application further in the future

Requirements & Qualifications:

In depth knowledge of integrated optics
Education requirements:
- Ph.D. in Photonics, Electrical Engineering, Physics, or related field
- M.S. in Photonics, Electrical Engineering, Physics, or related field + 2 years of work experience in a photonics research center or foundry

Experience requirements:
- Design and test of photonic components in silicon photonics or III-V materials
- Experience with design and test of high speed photonics active components would be an advantage
- Hands on experience with photonics modelling tools (e.g. Photon design, Lumerical, COMSOL, CST)
- Hands on experience with layout tools (e.g. Tanner L-Edit, Luceda Ipkiss). Experience with Luceda Ipkiss would be an advantage
- Experience with Python would be an advantage
- Experience with Linux or C# would be an advantage
Language:
- Fluent in English (written and spoken),
- Dutch or Chinese language knowledge is a plus
Attitude:
- Strong team player
- Excellent written and oral communication skills
- Creativity in problem-solving
- Continuous improvement

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Silicon Photonics PDK and Test Engineer

Leuven, Belgium

Employee

Partial Remote Job

Huawei Gent Research Center

Photonics PDK and Test Engineer: Silicon photonics

Huawei Belgium Research and Development Group (formally Caliopa) is a center of excellence for silicon photonics design and processing. It was initially created as a spin-off from the University of Gent and Imec in 2010 but it has been acquired by Huawei in 2013. Huawei is the global No.2 telecom solution provider and uses approximately one sixth of all photonics components produced in the world.

Huawei aims to significantly reduce the cost of these components by investing aggressively in silicon photonics research and development and implementing solutions based on this technology. Huawei Belgium R&D group is at the heart of this program. The group is located in Gent, a vibrant city in Belgium in the heart of Europe.

To strengthen our team, Caliopa is now looking for a Photonics PDK and Test Engineer.

Job responsibilities:

Maintain and expand setups & software driving the automated test setups.
Maintain and expand PDK for proprietary photonics platforms.
Design and optimize photonic components for next generation products.
Define test plans and analyze experimental data in R&D phase
Work as part of a team of photonic design & test engineers dedicated to developing Huawei’s silicon photonics platform
Work closely with the processing team

Requirements & Qualifications:

In depth knowledge of integrated optics
Education requirements
- S. in Photonics, Electrical Engineering, Physics, or related field
Skill requirements
- Solid foundation in programming. Experience with Python would be an advantage
- Experience in design and test of photonic components in silicon photonics, III-V materials or other photonics platforms
- Hands on experience with layout tools (e.g. Tanner L-Edit, Luceda Ipkiss). Experience with Luceda Ipkiss would be an advantage
- Hands on experience with photonics modelling tools would be an advantage (e.g. Photon design, Lumerical, COMSOL, CST, …)
- Experience with design and test of high speed photonics active components would be an advantage
Language
- Fluent in English (written and spoken),
- Dutch or Chinese language knowledge is a plus
Attitude
- Strong team player
- Excellent written and oral communication skills
- Creativity in problem-solving
- Continuous improvement

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Spontaneous Application

Leuven, Belgium

Employee

Huawei Leuven Research Center

Spontaneous Application

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Technical Lead Search Engine

Amsterdam-Zuidoost, Netherlands

Employee

Huawei Amsterdam Research Center

Huawei Search Team will leverage the best talent and infrastructure to build an industry-leading Cloud Search product that will allow Huawei mobile phone users to search over all their queries with best-in-industry with advanced user experiences, such as intention recognition, that would tremendously increase their experience. Our mission will be accomplished through utilizing advanced technologies to ensure knowledge data discovery and extraction, create intelligent experience, and design a robust data storing, indexing and querying architecture.

Responsibilities

You will work with a team of applied scientists and engineers who are responsible for all stages of the search engine including offline page storing/analysis/indexing, online querying/reranking/sorting. Your responsibilities will include technically lead Huawei Petal Search Amsterdam R&D branch, exploring state-of-art solutions covering NLP, ASR, Information Retrieval, Knowledge graph, video semantics, etc. Finishing planned projects like Machine translation, Segmenter, Question Answering, etc, according to global R&D roadmaps. Meanwhile, leading the research activities with local universities , helping constructing long-term competitiveness for Huawei Petal Search globally.

Qualifications

MS/BS in CS/EE, mathematical or machine learning related subjects.
Strong experiences in researching, designing, implementing and delivering commercial AI projects with models/software (Minimum: 8 years)
Proven track records of managing multiple teams.
Able to lead/cultivate team technically.
Solid knowledge and commercial projects background of Pytorch, Tensorflow, Keras, etc.
Experienced in real world large scale searching engine products, especially in multilingual multimodal information retrieval, time/cost efficiency of the algorithms, open-domain knowledge graph, etc.
Extensive working knowledge in Python、C、C++ 、Java、Go
Research and/or industrial background in machine learning, deep learning, natural language processing, knowledge graph, etc.
Willing and Ambitious to challenging world-level touch problems in AI and Search engine.
Good communication skills and English speaking, experienced working in a cross-culture and global distributed team

Qualifications considered a pre

PhD degree.
Working experience in MS Bing, Google Search, Booking or related global search engines.(Minimum: 5 years)
Leading professor in TOP academic research organizations in Information Retrieval, NLP, or Knowledge Graph.
Published influential papers in ACL、EMNLP、NAACL、COLING、ICLR or related TOP conferences.

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Senior Analog Power IC Design Engineer

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Senior LakeHouse Service R&D engineer

Senior mmWave Design Engineer

Senior RF IC Layout Engineer

Assignment Description

Required Education and Experience:

Senior Routing Soft. Eng.

Senior Speech Recognition Engineer

Silicon Photonics Design Engineer

Silicon Photonics PDK and Test Engineer

Spontaneous Application

Technical Lead Search Engine